Evaluation of anti-islanding techniques for renewable energy powered distributed generators using analytic network process

2016 ◽  
Vol 10 (9) ◽  
pp. 1245-1254 ◽  
Author(s):  
Asim Datta ◽  
Debasree Saha ◽  
Amitava Ray ◽  
Priyanath Das
2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.


BISMA ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 145
Author(s):  
Agus Setyo Pambudi

One of the success keys of the grant fund program for the renewable energy project is in the decision making process to find the engineering contractor with the best quality, effectiveness, and efficiency to implement the process of procurement of goods and services. The objective of this research is to design a systematic selection model for the engineering contractor referring to the conditions, situations, and scopes as required by the "Y" institution. Data were processed using Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analityc Network Process (ANP). The decision criteria referred to the PEPRES No. 70/2012, PERMEN No. 08/PRT/M/2011, and the results of Focus Group Discussion (FGD) conducted by the evaluation team. The assesments from the evaluation team were including internal and financial capability, technical capability, organizational capability, commitment to quality assurance, commitment to health and safety, and pricing. Keywords:     Selection of Engineering Contractor, Grant Fund, Renewable Energy, Decision Making Trial and Evaluation, Analytic Network Process.


2012 ◽  
Vol 34 (4) ◽  
pp. 882-891 ◽  
Author(s):  
Ibrahim Iskin ◽  
Tugrul Daim ◽  
Gulgun Kayakutlu ◽  
Mehmet Altuntas

Author(s):  
Baiba Rivza ◽  
Sandija Rivza ◽  
Peteris Rivza

Risk assessment in renewable energy production from agriculture biomass in Latvia The concepts "risk", "crisis", "danger" have become commonly used and recognised in various fields of entrepreneurship, governance, agriculture and environment protection. Risk management and risk evaluation nowadays has not only theoretical, but also practical application. Risk assessment is an important factor for successful and sustainable entrepreneurship of bioenergy production, which has become one of the priorities in the energy sector of Latvia — promotion of the use of renewable energy is included as one of the strategic goals for both European Union (EU) and Latvia. The present research focuses on risk assessment and choice of risk management alternatives in renewable energy production form agriculture biomass, since this type of energy is viewed as a perspective source for renewable energy production in Latvia. This field of energy production in Latvia is rather new and scantily explored, and therefore there are many risk factors that arise in different stages of energy production, starting with planning and building of a bioreactor and ending with production and further use and distribution of energy. A risk assessment module for renewable energy production made using Analytic Network Process (ANP) software is described in the paper.


Author(s):  
Romindo Romindo ◽  
Jamaludin Jamaludin

Kegiatan bisnis pada toko daring semakin berkembang dengan seiring berkembangnya teknologi, proses jual dan beli dengan media internet pun semakin marak dilakukan oleh Masyarakat. Masyarakat tidak perlu lagi keluar rumah dan menghadapi macetnya jalan jika ingin membeli suatu barang. Perkembangan inipun dirasakan oleh masyarakat khususnya mahasiswa Politeknik Ganesha. Mahasiswa Politeknik Ganesha sering melakukan kegiatan berbelanja di toko daring atau biasa dikenal dengan online shop. Kegiatan yang dilakukan oleh mahasiswa Politeknik Ganesha ini seringkali menimbulkan perbincangan tentang toko daring. Perbincangan seputar toko daring untuk memenuhi kebutuhan mahasiswa dalam berbelanja online, serta perbincangan dalam perbandingan memilih toko daring mana yang terbaik dalam berlanja online. Dengan permasalahan yang terjadi dikalangan mahasiswa Politeknik Ganesha, maka penting diketahui dalam menentukan keputusan pemilihan toko daring mana yang terbaik dilingkungan Politeknik Ganesha. Proses pemilihan tersebut menggunakan metode Analytic Network Process (ANP) sebagai salah satu metode pada Sistem Pendukung Keputusan. 10 kriteria yang sudah ditentukan oleh mahasiswa Politeknik Ganesha, yaitu: Nomor Telepon/Chatting Online, Produk Popular, Gratis Ongkos Kirim, Sistem Pemabayaran, Logo, Sosial Media Link, Toko Finder, Merk Produk, Berita Terbaru, dan Trusmark. Dan 3 alternatif jenis Toko Daring yaitu: Bukalapak, Shopee dan Lazada. Hasil penelitian pada pengolahan data menggunakan metode ANP menunjukkan bahwa jenis toko daring yang bisa direkomendasikan dikalangan mahasiswa Politeknik Ganesha adalah yang peratama sebagai prioritas tertinggi Shopee = 3.80, kemudian yang kedua adalah Bukalapak = 3.73, dan yang terakhir adalah Lazada = 2.47.


2020 ◽  
Vol 24 (5) ◽  
pp. 553-565
Author(s):  
Reza Kiani Mavi ◽  
Hamed Gheibdoust ◽  
Ahmad A. Khanfar

Nowadays, it is obvious that creative tourism industry has become very essential for countries and societies; therefore, governments work on constituting policies in order to develop this industry. To be successful in improving creative tourism industry, governments should identify the influential factors and focus on ones that are more important rather than investing a bit on many different factors. Because of the interrelations among factors, this research is aiming to prioritize factors that influence strategic policies of creative tourism industry in Iran using analytic network process (ANP). Data were collected during the period of May 2017 to February 2018. Participants in this research are 13 tourism experts with more than 10 years' experience in the field. Results show that the most influential criterion is "business support" and the most influential subcriterion is "supporting midsize businesses." This study helps policy makers to improve creative tourism by emphasizing on those factors that have high priority from the viewpoint of strategic policy-making.


2017 ◽  
Vol 50 ◽  
pp. 50
Author(s):  
Trần Thị Nhật Hồng ◽  
Trần Thị Mỹ Dung ◽  
Huỳnh Tấn Phong ◽  
Lê Thị Diễm Phương ◽  
Trương Hoàng Thơ

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.


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